Research output per year
Research output per year
Description
This dataset expands the original Sphere Challenge dataset with access to a full set of both training and testing data. This dataset is well-adapted for use to predict aspects of the activities of residents within a smart home based only on observed sensor data. An accompanying data descriptor is under submission to Nature Scientific Data.
An updated version was deposited in November 2022 with extensive additional data, as well as being reorganised to facilitate accessibility and reusability.
This dataset is available under the
CC-BY licence.
Earlier version of this dataset available at: https://doi.org/10.5523/bris.1dcxespcsafm02fba4bckx0ymt
An updated version was deposited in November 2022 with extensive additional data, as well as being reorganised to facilitate accessibility and reusability.
This dataset is available under the
CC-BY licence.
Earlier version of this dataset available at: https://doi.org/10.5523/bris.1dcxespcsafm02fba4bckx0ymt
| Date made available | 3 Nov 2022 |
|---|---|
| Publisher | University of Bristol |
Keywords
- activities of daily living
- multi-sensor data
- scripted dataset
-
A multi-sensor dataset with annotated activities of daily living recorded in a residential setting
Tonkin, E. L., Holmes, M. H., Song, H., Twomey, N. J., Diethe, T. R., Kull, M., Perello Nieto, M., Camplani, M., Hannuna, S. L., Fafoutis, X., Zhu, N., Woznowski, P. R., Tourte, G. J. L., Santos-Rodriguez, R., Flach, P. A. & Craddock, I. J., 23 Mar 2023, In: Scientific Data. 10, 1, p. 1-15 15 p., 162.Research output: Contribution to journal › Article (Academic Journal) › peer-review
Open Access4 Citations (Scopus) -
Recognizing human activities with attention mechanism on multi-source sensor data
Bi, H., Perello Nieto, M., Tonkin, E. L., Santos-Rodriguez, R., Flach, P. A. & Craddock, I. J., 28 Dec 2022.Research output: Contribution to conference › Conference Paper › peer-review
Open Access